tf.compat.v1.clip_by_average

Clips tensor values to a maximum average L2-norm. (deprecated)

tf.compat.v1.clip_by_average_norm(
    t, clip_norm, name=None
)

Given a tensor t, and a maximum clip value clip_norm, this operation normalizes t so that its average L2-norm is less than or equal to clip_norm. Specifically, if the average L2-norm is already less than or equal to clip_norm, then t is not modified. If the average L2-norm is greater than clip_norm, then this operation returns a tensor of the same type and shape as t with its values set to:

t * clip_norm / l2norm_avg(t)

In this case, the average L2-norm of the output tensor is clip_norm.

This operation is typically used to clip gradients before applying them with an optimizer.

Args
`t`	A `Tensor`.
`clip_norm`	A 0-D (scalar) `Tensor` > 0. A maximum clipping value.
`name`	A name for the operation (optional).

Returns
A clipped `Tensor`.

TensorFlow

tf.compat / v1 / v1.clip_by_average_norm

Args

Returns

TensorFlow

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tf.compat / v1 / v1.clip_by_average_norm

Args

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